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Abstract: Selecting Precipitation Inputs for Hydrological Modeling in Data-Scarce Catchments: Gridded Precipitation versus Machine Learning Output (AGU25)

Selecting Precipitation Inputs for Hydrological Modeling in Data-Scarce Catchments: Gridded Precipitation versus Machine Learning Output

Mohammad Najim Nasimi, Technical University of Munich, Munich, Germany and Neptune Zaim, Technical University of Munich, München, Germany
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